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HGPA 2015 : Call for Chapters: Handbook of Genetic Programming Applications

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Link: http://www.journals.elsevier.com/automation-in-construction/call-for-papers/special-issue-big-data-in-civil-engineering/
 
When N/A
Where N/A
Abstract Registration Due Jul 30, 2014
Submission Deadline Oct 15, 2014
Notification Due Nov 20, 2014
Final Version Due Dec 20, 2014
Categories    genetic programming   artificial intelligence   soft computiong   evolutionary computation
 

Call For Papers

Title:
“Handbook of Genetic Programming Applications”

Editors:
Amir H. Gandomi (The University of Akron, USA, e-mail: ag72@uakron.edu)
Amir H. Alavi (Michigan State University, USA, e-mail: alavi@msu.edu)
Conor Ryan (University of Limerick, Ireland, e-mail: conor.ryan@ul.ie)

Scope and Aims:
In the past two decades, artificial intelligence algorithms have proved to be promising tools for solving a multitude of tough scientific problems. Many of these stochastic search techniques do not suffer from some of the deficiencies of mathematical programming-based optimum design methods such as continuous objective function, stringent requirements of smoothness and gradients of the objective and constraint functions. Thus, global optimum (or suboptimal) design can be achievable with a finite number of search iterations. One of the most exciting of these methods is Genetic Programming (GP), inspired by natural evolution and the Darwinian concept of “Survival of the Fittest”. The use of GP has grown significantly in the last ten years in almost every area of science and engineering. This book strives to review the latest development of GP and its key applications in solving real world problems.

Topics of interest in the application domain include (but not limited to):

• Agricultural Sciences
• Biological Sciences
• Business Management & Accounting
• Chemistry
• Earth & Planetary Sciences
• Engineering & Technology
• Energy Conversion & Management
• Environmental Sciences
• Medical Sciences


Topics of interest in the computing domain include (but not limited to):

• Tree-based GP
• Graph-based GP
• Grammar-based GP
• Linear GP
• Grammatical Evolution
• Multi-expression programming
• Gene Expression Programming
• Cartesian GP
• Infix Form GP
• Multi-Population GP
• Multi-Objective GP
• Fast/Parallel GP
• Probabilistic GP
• Object-Oriented GP
• Hybridization of Algorithms


This book will serve as an excellent reference providing all the details required for a successful application of GP and its branches to challenging real-world problems. Therefore, the authors are encouraged to use publicly accessible data or to make the used data available.


Timetable:
Call for chapters: June 2014
Deadline for submission of abstract*: July 30, 2014
Deadline for submission of manuscripts: October 15, 2014
Review period: October 15 to November 20, 2014
Deadline for submission of the revised version: December 20, 2014
Final decision due: December 31, 2014

* Tentative abstract, along with title, authors’ name and their affiliation, should be emailed to one of the editors with title of “New Submission for HGPA”.

Publication of the handbook: Early 2015

Publisher: Springer

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